| Language of instruction: |
English |
| Type of course: |
Non-Departmental Elective |
| Course Level: |
Bachelor’s Degree (First Cycle)
|
| Mode of Delivery: |
|
| Course Coordinator : |
Assoc. Prof. SAEID KARAMZADEH |
| Course Lecturer(s): |
Assoc. Prof. ALKAN SOYSAL
|
| Recommended Optional Program Components: |
none.......... |
| Course Objectives: |
The aim of this course is to understand, in detail, basic information theory and coding theory arguments. Information theoretic analysis covers entropy/mutual information, source and channel coding. Coding theory analysis covers code construction, linear codes, cyclic and convolutional codes, near capacity codes. |
| Week |
Subject |
Related Preparation |
| 1) |
Introduction to basic concepts of information transfer |
|
| 2) |
Define concepts of entropy, relative entropy, conditional entropy |
|
| 3) |
Definition of mutual information and its calculation for different scenarios. |
|
| 4) |
Source coding theorem |
|
| 5) |
Applications of source coding theorem: Shannon codes, Huffman codes |
|
| 6) |
Channel coding theorem |
|
| 7) |
Differential entropy |
|
| 8) |
Capacity calculations for different channel models. Midterm |
|
| 9) |
The Gaussian channel and its capacity |
|
| 10) |
Basics of code construction, Error detection and correction |
|
| 11) |
Linear block codes |
|
| 12) |
Cyclic codes |
|
| 13) |
Convolutional codes |
|
| 14) |
Near capacity codes |
|
| |
Program Outcomes |
Level of Contribution |
| 1) |
- Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources.
|
|
| 2) |
Use of advanced theoretical and practical knowledge within the field.
-Interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the field. |
|
| 3) |
Inform people and institutions, transfer ideas and solution proposals to problems in written and orally on issues in the field.
- Share the ideas and solution proposals to problems on issues in the field with professionals and non-professionals by the support of qualitative and quantitative data.
-Organize and implement project and activities for social environment with a sense of social responsibility.
-Monitor the developments in the field and communicate with peers by using a foreign language at least at a level of European Language Portfolio B1 General Level.
-Use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. |
|
| 4) |
Evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach.
-Determine learning needs and direct the learning.
-Develop positive attitude towards lifelong learning. |
|
| 5) |
Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to the field.
- Possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also, environmental protection, worker's health and security. |
|
| 6) |
Conduct studies at an advanced level in the field independently.
- Take responsibility both as a team member and individually in order to solve unexpected complex problems faced within the implementations in the field.
- Planning and managing activities towards the development of subordinates in the framework of a project |
|